The efficacy of memory load on speech-based detection of Alzheimer’s disease

Introduction The study aims to test whether an increase in memory load could improve the efficacy in detection of Alzheimer’s disease and prediction of the Mini-Mental State Examination (MMSE) score. Methods Speech from 45 mild-to-moderate Alzheimer’s disease patients and 44 healthy older adults were collected using three speech tasks with varying memory loads. We investigated and compared speech characteristics of Alzheimer’s disease across speech tasks to examine the effect of memory load on speech characteristics. Finally, we built Alzheimer’s disease classification models and MMSE prediction models to assess the diagnostic value of speech tasks. Results The speech characteristics of Alzheimer’s disease in pitch, loudness, and speech rate were observed and the high-memory-load task intensified such characteristics. The high-memory-load task outperformed in AD classification with an accuracy of 81.4% and MMSE prediction with a mean absolute error of 4.62. Discussion The high-memory-load recall task is an effective method for speech-based Alzheimer’s disease detection.

[1]  A. Roelofs,et al.  Accounting for word production, comprehension, and repetition in semantic dementia, Alzheimer’s dementia, and mild cognitive impairment , 2023, Brain and Language.

[2]  V. Folia,et al.  Language Differences Among Individuals with Normal Cognition, Amnestic and Non-Amnestic MCI, and Alzheimer’s Disease , 2022, Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists.

[3]  R. Reilly,et al.  Structural Correlates of Overt Sentence Reading in Mild Cognitive Impairment and Mild-to-Moderate Alzheimer's Disease. , 2022, Current Alzheimer research.

[4]  M. Liberman,et al.  Lexical and Acoustic Speech Features Relating to Alzheimer Disease Pathology , 2022, Neurology.

[5]  V. Baths,et al.  Alzheimer’s Dementia Detection Using Acoustic & Linguistic Features and Pre-trained BERT , 2021, 2021 8th International Conference on Soft Computing & Machine Intelligence (ISCMI).

[6]  Najim Dehak,et al.  Automatic Detection and Assessment of Alzheimer Disease Using Speech and Language Technologies in Low-Resource Scenarios , 2021, Interspeech.

[7]  P. Garrard,et al.  A Comparison of Connected Speech Tasks for Detecting Early Alzheimer’s Disease and Mild Cognitive Impairment Using Natural Language Processing and Machine Learning , 2021, Frontiers in Computer Science.

[8]  Fasih Haider,et al.  An Assessment of Paralinguistic Acoustic Features for Detection of Alzheimer's Dementia in Spontaneous Speech , 2020, IEEE Journal of Selected Topics in Signal Processing.

[9]  Wei Xue,et al.  Acoustic correlates of speech intelligibility: the usability of the eGeMAPS feature set for atypical speech , 2019, SLaTE.

[10]  I. Hoffmann,et al.  Changes in temporal features of speech in secondary progressive multiple sclerosis (SPMS) – case studies , 2019, Clinical linguistics & phonetics.

[11]  Megan K. MacPherson Cognitive Load Affects Speech Motor Performance Differently in Older and Younger Adults. , 2019, Journal of speech, language, and hearing research : JSLHR.

[12]  C. Stepp,et al.  Acoustic Measures of Voice and Physiologic Measures of Autonomic Arousal during Speech as a Function of Cognitive Load. , 2017, Journal of voice : official journal of the Voice Foundation.

[13]  Björn W. Schuller,et al.  The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing , 2016, IEEE Transactions on Affective Computing.

[14]  C. Dromey,et al.  Bidirectional Interference Between Speech and Nonspeech Tasks in Younger, Middle-Aged, and Older Adults. , 2015, Journal of speech, language, and hearing research : JSLHR.

[15]  V. Manera,et al.  Automatic speech analysis for the assessment of patients with predementia and Alzheimer's disease , 2015, Alzheimer's & dementia.

[16]  Hana Kim,et al.  Age-related Changes in Story Retelling Procedures and their Relation to Working Memory Capacity , 2014 .

[17]  Dolores E. López,et al.  Speech in Alzheimer's Disease: Can Temporal and Acoustic Parameters Discriminate Dementia? , 2014, Dementia and Geriatric Cognitive Disorders.

[18]  Neeraja Sadagopan,et al.  Age differences in speech motor performance on a novel speech task. , 2013, Journal of speech, language, and hearing research : JSLHR.

[19]  J M Arana,et al.  Oral reading fluency analysis in patients with Alzheimer disease and asymptomatic control subjects. , 2013, Neurologia.

[20]  Marcos Faúndez-Zanuy,et al.  On the Selection of Non-Invasive Methods Based on Speech Analysis Oriented to Automatic Alzheimer Disease Diagnosis , 2013, Sensors.

[21]  Francisco Martínez-Sánchez,et al.  Acoustic Markers Associated with Impairment in Language Processing in Alzheimer's Disease , 2012, The Spanish journal of psychology.

[22]  Peter J. Nestor,et al.  Abnormalities of connected speech in semantic dementia vs Alzheimer's disease , 2012 .

[23]  C. Apicella,et al.  Masculine voices signal men's threat potential in forager and industrial societies , 2012, Proceedings of the Royal Society B: Biological Sciences.

[24]  J. Schneider,et al.  National Institute on Aging–Alzheimer's Association guidelines for the neuropathologic assessment of Alzheimer's disease , 2012, Alzheimer's & Dementia.

[25]  Susan Kemper,et al.  Tracking Talking: Dual Task Costs of Planning and Producing Speech for Young versus Older Adults , 2011, Neuropsychology, development, and cognition. Section B, Aging, neuropsychology and cognition.

[26]  Tuomo K Leino,et al.  Effect of cognitive load on articulation rate and formant frequencies during simulator flights. , 2011, The Journal of the Acoustical Society of America.

[27]  S. Kemper,et al.  Aging and the vulnerability of speech to dual task demands. , 2010, Psychology and aging.

[28]  Björn Schuller,et al.  Opensmile: the munich versatile and fast open-source audio feature extractor , 2010, ACM Multimedia.

[29]  K. Horley,et al.  Emotional prosody perception and production in dementia of the Alzheimer's type. , 2010, Journal of speech, language, and hearing research : JSLHR.

[30]  D. Robin,et al.  Neural control of the lips differs for young and older adults following a perturbation , 2010, Experimental Brain Research.

[31]  Joseph T. Gwin,et al.  Motor control and aging: Links to age-related brain structural, functional, and biochemical effects , 2010, Neuroscience & Biobehavioral Reviews.

[32]  Cristina D. Dye,et al.  Temporal parameters of spontaneous speech in Alzheimer's disease , 2010, International journal of speech-language pathology.

[33]  Ludovico Minati,et al.  Reviews: Current Concepts in Alzheimer's Disease: A Multidisciplinary Review , 2009, American journal of Alzheimer's disease and other dementias.

[34]  C. Dromey,et al.  The effects of divided attention on speech motor, verbal fluency, and manual task performance. , 2008, Journal of speech, language, and hearing research : JSLHR.

[35]  Christopher Dromey,et al.  Speech interactions with linguistic, cognitive, and visuomotor tasks. , 2005, Journal of speech, language, and hearing research : JSLHR.

[36]  Wolzt,et al.  World Medical Association Declaration of Helsinki , 2000, International Journal of Pharmaceutical Medicine.

[37]  V. O. Emery,et al.  Language impairment in dementia of the Alzheimer type: a hierarchical decline? , 2000, International journal of psychiatry in medicine.

[38]  A Smith,et al.  Influences of utterance length and complexity on speech motor performance in children and adults. , 2000, Journal of speech, language, and hearing research : JSLHR.

[39]  L. Kurlowicz,et al.  The Mini Mental State Examination (MMSE). , 1999, Director.

[40]  W. Chodzko-Zajko,et al.  Adults who stutter: responses to cognitive stress. , 1994, Journal of speech and hearing research.

[41]  D. Kempler,et al.  Syntactic preservation in Alzheimer's disease. , 1987, Journal of speech and hearing research.

[42]  Helen J. Chenery,et al.  Language disorders in dementia of the Alzheimer type , 1987, Brain and Language.

[43]  H. Catts,et al.  Management of sentence production demands. , 1984, Journal of speech and hearing research.

[44]  L. Ramig,et al.  Effects of physiological aging on selected acoustic characteristics of voice. , 1983, Journal of speech and hearing research.

[45]  A. Kertesz,et al.  A study of language functioning in Alzheimer patients , 1982, Brain and Language.

[46]  F. Martínez-Sánchez,et al.  [Expressive prosodic patterns in individuals with Alzheimer's disease]. , 2012, Psicothema.

[47]  T. Ichida,et al.  World Medical Association declaration of Helsinki , 2008, Gastroenterologia Japonica.

[48]  D. Salmon,et al.  Semantic Memory Deficits Associated with Alzheimer’s Disease , 1994 .

[49]  J. M. Panagos,et al.  The influence of processing mode on the sentence productions of language-disordered and normal children , 1989 .